Retour à Mastering Data Analysis in Excel

# Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

4.2
étoiles
3,070 évaluations
694 avis

## À propos du cours

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....

## Meilleurs avis

##### JE

Oct 31, 2015

The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.

##### NC

Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

Filtrer par :

## 401 - 425 sur 675 Avis pour Mastering Data Analysis in Excel

par Steve T

Jan 15, 2016

Good but the final project could have been setup up with better instructions.

par sina t

Jun 16, 2017

Last part of the class was a bit confusing. need more explanation on that.

par m.umair r

Nov 06, 2015

A very good COURSE....i was looking it sinc a long time

thank you COURSERA

par Christopher M

Oct 09, 2017

A bit ponderous at times. Lots of digression, with limited context given.

par smily a

Jan 08, 2016

Great course... Self Explanatory.. Loved the details.. Must take this one

par Alia E

Jan 20, 2017

It's not Excel... it's applied probability theory using Excel workbooks.

par Jose A L M

Dec 28, 2015

If we would have use a real example to explain the concepts prof Eagger

Nov 19, 2015

Thanks to Duke university for offering these professional courses free

par Jakub K

Jun 09, 2016

Be prepared to study a lot as the material is comprehensive and vast.

par Lola G

Jul 01, 2019

Very good course! It's not easy, practical and really interesting.

par Mohtashim k

Nov 23, 2015

This course really helps in doing Analytics with the help of EXCEL

par Cheng D

Mar 23, 2018

hope there can be clear answers for each assignment in the future

par Yunxi C

Jul 11, 2017

Extremely hard! However I learned a lot! Totally worth the time!

par Rafael A

Jan 30, 2020

Great content, but some points could have been better explained

par Dayoung K

Nov 25, 2017

It's a productive course but there are quite tough projects.

par Andreas H

Aug 28, 2017

The instructions for some of the exercises could be clearer

par Derek

Mar 29, 2016

Good course. Wish it was more hands on working with excel.

par Irene A

Jan 16, 2016

Clear and useful. But you need a text book to this course.

par Ioannis B

Sep 06, 2017

Good course, I would expect more in terms of modelling

par Colin R

Apr 02, 2018

Really enjoyed this course - thank you Mr Egger !!

par Oleg L

May 28, 2017

Interesting introduction to classification. Thanks!

par Eugenio A R G

May 31, 2016

It's just not only Excel...is mostly data analysis.

par Yuduan L

Nov 05, 2015

A bit very difficult course...full of formula